An Machine Learning Engineer

Rishabh Bhartiya.

I turn research-grade ML ideas into production systems that actually hold up at scale.

Open to new opportunities

Profile

Skills, education & summary

M.S. in Computer Science Specialisation — AI & Machine Learning. 3 years building real-world ML products from ideation to deployment, focused on delivering impactful solutions through rigorous research and scalable implementation.

ML Systems

Production Architecture

Scalable ML pipelines & real-time inference.

99.4% success rate on TTA — zero downtime.

Experience

03years

Currently at Edza.ai as ML Engineer — building AI-powered education tools used by thousands of students.

Featured Project

Text-to-Animation Engine (TTA)

Generative AI

A production-grade multi-agent system that transforms raw academic topics into fully narrated, animated educational videos with a 99.4% success rate — deployed at Edza.ai.

Blog

Neuro-Symbolic AI: How to Build Reliable LLM Pipelines That Don't Hallucinate

LLM & NLP

Pure LLM generation fails ~60% of the time for structured outputs. Learn how neuro-symbolic architecture combines AI reasoning with deterministic templates to achieve 99%+ production reliability.

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